Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Brain Imaging01:14

Brain Imaging

586
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
586
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

708
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
708
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

8.8K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
8.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Influence of clinical suspicion on CT accuracy of acute mesenteric ischemia: Retrospective study of 362 patients.

European journal of radiology·2021
Same author

Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment.

Diagnostic and interventional imaging·2020
Same author

Impact of the rise of artificial intelligence in radiology: What do radiologists think?

Diagnostic and interventional imaging·2019
Same author

Artificial intelligence to diagnose meniscus tears on MRI.

Diagnostic and interventional imaging·2019
Same author

Automatic knee meniscus tear detection and orientation classification with Mask-RCNN.

Diagnostic and interventional imaging·2019
Same author

Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI.

Diagnostic and interventional imaging·2019
Same journal

Precision imaging and minimally invasive therapy in osteoid osteoma.

Diagnostic and interventional imaging·2026
Same journal

Interstitial lung disease pattern recognition on full high resolution computed tomography volume: Development and evaluation of a decision-support tool for less-experimented radiologists.

Diagnostic and interventional imaging·2026
Same journal

Breast cryoablation: What does the current evidence allow us to say?

Diagnostic and interventional imaging·2026
Same journal

Rethinking personalization in prostatic artery embolization: It is not who we treat, but how.

Diagnostic and interventional imaging·2026
Same journal

Simultaneous pulmonary ventilation and perfusion imaging using spectral photon counting CT with xenon and gadolinium-based agents in combination with color K-edge imaging.

Diagnostic and interventional imaging·2026
Same journal

Occupational radiation exposure and radiation protection practices in interventional radiology and cardiology: A multicenter study in France.

Diagnostic and interventional imaging·2026
See all related articles

Related Experiment Video

Updated: Dec 25, 2025

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

49.2K

Three artificial intelligence data challenges based on CT and MRI.

N Lassau1, I Bousaid2, E Chouzenoux3

  • 1Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France.

Diagnostic and Interventional Imaging
|April 5, 2020
PubMed
Summary
This summary is machine-generated.

The French Society of Radiology organized an artificial intelligence (AI) data challenge, creating high-quality, multicenter medical imaging databases for public health research. This initiative focused on 3D imaging and prognostic questions for AI development.

Keywords:
Artificial intelligence (AI)Computed tomography (CT)Deep learningMachine learningMagnetic resonance imaging (MRI)

More Related Videos

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.6K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.3K

Related Experiment Videos

Last Updated: Dec 25, 2025

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

49.2K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.6K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.3K

Area of Science:

  • Medical imaging analysis
  • Artificial intelligence in radiology
  • Public health research

Background:

  • The French Society of Radiology organized the second edition of an artificial intelligence (AI) data challenge.
  • The challenge aimed to address public health issues using AI and high-quality, multicenter medical imaging databases.

Purpose of the Study:

  • To develop AI tools for relevant public health issues.
  • To create large, multicenter, high-quality medical imaging databases.
  • To incorporate three-dimensional (3D) imaging information and prognostic questions into AI development.

Main Methods:

  • Clinical questions were proposed by radiology subspecialty colleges and assessed for AI feasibility.
  • A secure platform was established for anonymized data upload, adhering to data protection regulations.
  • Radiologists performed weekly quality checks and annotations on the anonymized examinations.

Main Results:

  • Three distinct AI challenges were conducted, focusing on pulmonary nodule detection (3D CT), multiple sclerosis disability prediction (3D MRI), and sarcopenia estimation (2D CT).
  • A total of 4347 examinations were collected from 24 centers, forming three independent databases with a 94% inclusion rate.
  • 143 participants in 20 multidisciplinary teams competed in the challenge.

Conclusions:

  • Three successful AI data challenges were completed, each involving over 1200 general data protection regulation-compliant CT or MRI examinations.
  • Future challenges should incorporate more complex scenarios, integrating histopathological or genetic data to better reflect clinical practice.